% Curriculum Vitae
\lhead{\emph{Curriculum Vitae}}
\chapter*{Curriculum Vitae}



Toine Bogers was born in Roosendaal, the Netherlands, on the 21st of September, 1979. After graduating high school at Gertrudiscollege in Roosendaal in 1997, he started studying Information Management at Tilburg University and obtained his M.A.\ degree in 2001. His M.A.\ thesis was about a comparison of major Web service frameworks. In 2002, he started his studies in Computational Linguistics \& AI at Tilburg University; two years later, he obtained a second M.A.\ degree. His second M.A.\ thesis was about the optimization of a named entity recognizer for Dutch.

In December 2004, he joined the Induction of Linguistic Knowledge group at Tilburg University as a Ph.D.\ student under the supervision of Antal van den Bosch. Funded by SenterNovem and the Dutch Ministry of Economic Affairs as part of the IOP-MMI {\`{A}} Propos project, the goal of this project was to develop an adaptive, personalized, just-in-time knowledge management environment for members of professional workgroups, which supports them in writing documents and test its usability in actual offices. The project was carried out in collaboration with the University of Nijmegen and Intelli-Gent. The focus of Toine's work was on the personalization and recommendation of relevant document by the information agent. 

In addition, Toine worked on expert search with researchers of the ILPS group at the University of Amsterdam, which culminated in the development and adoption of a university-wide expert search engine for Tilburg University. Another project was developing a system for recommendation related news articles for the website of the Dutch newspaper Trouw. In 2008, Toine spent two and a half months working as a guest researcher at the Royal School of Library and Information Science in Copenhagen, Denmark.

As of October 2009, Toine has been working at the Royal School of Library and Information Science in Copenhagen, Denmark. His research interests include recommender systems, enterprise search, information retrieval, intelligent multimedia information systems (content analysis, retrieval, and personalization).
